Tag: Cineca

PRACE-MaX training

Cineca in collaboration with MaX, CSCS and PRACE (www.prace-ri.eu) presents the course: MATERIAL SCIENCE CODES ON INNOVATIVE HPC ARCHITECTURES: TARGETING EXASCALE that will be held in Cineca, Casalecchio di Reno (BO, Italy) on December 5-7, 2016. The course will focus

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Course: MATERIAL SCIENCE CODES ON INNOVATIVE HPC ARCHITECTURES: TARGETING EXASCALE

Cineca in collaboration with MaX, CSCS and PRACE presents the course: MATERIAL SCIENCE CODES ON INNOVATIVE HPC ARCHITECTURES: TARGETING EXASCALE that will be held in Cineca, Casalecchio di Reno (BO, Italy) on December 5-7, 2016. The course will focus of the

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Parallel and management of large scientific data

Parallel and management of large scientific data @ CINECA The growing availability and power of computing resources, has led in recent years to the production of a huge amount of data. However, writing results of numerical simulations from memory to

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Supercomputers Aid in Quantum Materials Research

A new article in a series covering how scientists are updating popular molecular dynamics, quantum chemistry and quantum materials code to take advantage of hardware advances. “Cineca is engaged in many R&D projects relating to HPC developments. One of the most

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HPC Numerical Libraries – Cineca Course

When dealing with performance problems of programs involving a large amount of numerical operations, an HPC programmer has to know the existence of specifically developed numerical libraries, and how to use them. Their high scalability and portability can be of

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MHPC Master in High Performance Computing

In February 2016 Max (CINECA node) contributes to the master in High Performance Computing ( www.mhpc.it) of SISSA/ISAS . MHPC provides skills useful both in the academic and in the industrial field, like technical and software development. MaX contributed in

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Joint MCC-UKCP-EPCC Workshop on Ab initio Periodic Codes

This workshop will interest you if you are an advanced user of ab initio periodic codes on high performance computers (HPC), and want to: Learn to tailor the choice of code to the project, to increase efficient exploitation of HPC

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